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Department of Electrical and Electronic Engineering
Electronics and Photonics
Facilities
Facilities
Gigabit wireless and nano-photonic sensor laboratory
Tucker laboratory
Old Met labs
David Caro labs
Printed electronics and biomedical sensors lab
Access to national facilities
Department of Electrical and Electronic Engineering
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Industry engagement in teaching
Host a student intern
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PhD Projects Available
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Autonomous Systems
Communications and Networks
Low-Carbon Power Systems
Electronics and Photonics
Business Specialisation
General Masters
Directed Studies Summer 2023
Communications and networks
Research
Projects
Real-time Internet of Things with Performance Guarantees
People
Control and signal processing
Research
Our Projects
Real-time control with safety guarantees: theory and applications
Digitally networked dynamical systems: Performance and robustness analysis
Hypersonic vehicle design
A next-level trusted autonomous platform capable of robust and persistent operation in complex, contested land environments
Green Water is Good: Control and Design of Low-Carbon Water Pumping Systems
Neuro-Autonomy
People
Researchers
Graduate researchers
Lab
Electronics and Photonics
Research Area
Communication Systems
Nano-electronics and sensors
Nanophotonics and Optoelectronics
Human-machine interfaces
Ongoing Projects
High-density mobile fronthaul optical interconnects using few-mode fibres
People
Opportunities
Facilities
Gigabit wireless and nano-photonic sensor laboratory
Tucker laboratory
Old Met labs
David Caro labs
Printed electronics and biomedical sensors lab
Access to national facilities
Power and Energy
Our Research
Our Projects with Industry
Advanced Planning of PV-Rich Distribution Networks
EV Integration
Project EDGE
Model-Free Operating Envelopes at NMI Level
Australian Research Plan for the G-PST Topic 4 and Topic 8
Deployable Adaptive Smart Grid (DASG) 2
Deployable Adaptive Smart Grid (DASG) 1
Assessing the Benefits of Using Operating Envelopes to Orchestrate DERs Across Australia
Smart Grid Lab
People
Free online courses
Advanced Modelling of DER-Rich Active Distribution Networks
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Staff